Google Announces A Wave of AI Innovations
Plus: AI at Airports with Nvidia partner’s vision AI, No-code Zapier AI chatbot builder.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 96th edition of The AI Edge newsletter. This edition brings you Goolge’s slew of AI announcements from Google Cloud Next ‘23.
And a huge shoutout to our incredible readers. Your support is invaluable to us! 😊
In today’s edition:
⚡ Google announces a wave of AI innovations
🚀 AI Lands at Bengaluru Airport with Nvidia partner’s vision AI
🤖 Introducing Zapier AI Chatbot: Create custom AI chatbots with no code
📚 Knowledge Nugget: Tool-augmented LLMs by
Let’s go!
Google announces a wave of AI innovations
Google announced a slew of massive AI updates at the Google Cloud Next 2023 event. Here are some key announcements:
Vertex AI extends enterprise-ready generative AI development with new models and tooling. Google Cloud gets a curated collection of models across first-party, open-source, and third-party models, including Meta’s Llama 2 and Code Llama, Falcon, Anthropic’s Claude 2, and more. Google’s foundation models– PaLM, Codey, and Imagen– also get several updates.
Powered by DeepMind, a new tool called SynthID helps watermark and identify synthetic images created by Imagen.
Google is expanding its AI-optimized infrastructure with the general availability of Cloud TPU v5e and Nvidia-powered A3 VMs.
Duet AI in Workspace (aiding tasks across meetings, documents, Google Chat, Gmail, and more) is now generally available, and Duet AI in Google Cloud (to assist in code refactoring, improving, etc.) is expanding its preview and will be generally available later this year
.
Duet AI in Google Cloud also includes advancements for software development, application infrastructure and operations, data analytics, accelerating and modernizing databases, and security operations.
Search Generative Experience (SGE) launches in the first countries outside the U.S. — India and Japan (with multilingual and local language support).
Why does it matter?
The advancements seem to offer a complete solution for AI, from computing infrastructure to end-to-end software and services that support the full lifecycle of model training, tuning, and serving at global scale. It will help organizations harness the full potential of AI with data and cloud through a unified foundation.
(Source)
AI Lands at Bengaluru Airport with Nvidia partner’s vision AI
A member of the NVIDIA Metropolis vision AI partner ecosystem, Industry.AI has deployed its vision AI platform across BLR’s newest terminal, T2. It’s one of the first deployments of intelligent video analytics at scale in an Indian airport.
Industry.AI increases the safety and efficiency of the terminal’s operations by using vision AI and object detection to track abandoned baggage, flag long passenger queues, and alert security teams of potential issues, among other use cases.
Why does it matter?
This highlights the potential for AI integrated with IoT to deliver efficient solutions in various sectors, such as aviation, transportation, logistics, smart cities, and more.
(Source)
Introducing Zapier AI Chatbot: Create custom AI chatbots with no code
Now you can build your own AI-powered chatbot through Zapier Interfaces, its no-code, automation-powered app builder currently in beta. You also have a variety of sharing options, so you can embed chatbots on your website or limit access to your team or external stakeholders.
The base AI Chatbot model is GPT-3.5. With Interfaces Premium, you can connect to other models (like GPT-4) using an API key from your personal OpenAI account.
Why does this matter?
This makes it easier for businesses and individuals to create custom AI chatbots, no coding required. It democratizes AI chatbot development, potentially increasing their accessibility across various industries/applications and fostering innovation in AI.
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Knowledge Nugget: Tool-augmented LLMs
Language models are useful for a wide range of applications. By definition, however, they are limited to producing natural language, which does not allow them to interact with the real world.
This can be ameliorated by allowing the model to access external tools—by predicting special tokens or commands.
This intriguing article by
explores tool use– arguably one of the hottest new capabilities of LLMs. It explains the concept, its benefits, and how to teach an LLM to use them. For instance, here are two types of information for prompting LLMs for tool use.
The article also discusses platforms for tool-augmented LLMs, several challenges, and directions for tool-augmented LLMs.
Why does this matter?
Tools provide a practical way to address some of the limitations of current LLMs and have the potential to make them more capable and more interpretable at the same time.
What Else Is Happening❗
📈OpenAI on pace to generate more than $1B in revenue as big companies boost AI spending (Link)
🤖Walmart launches a generative AI-powered internal chatbot for its 50k employees (Link)
🆕Runway released a new feature in Gen-2, Motion Slider, to control movement in output (Link)
🚁A quadcopter drone with an AI brain beats human champions at drone racing (Link)
🚀Substack introduces AI tools to let you automatically generate audio transcripts (Link)
🛠️ Trending Tools
Writeitdown.ai: AI identifies psychological themes hindering growth and advises self-exploration.
Zist: Organize code snippets and GitHub Gists with AI auto-tagging, advanced search, and a user-friendly editor.
Jochem.ai: Connects to knowledge base and customer support tool to generate AI-powered Ready-To-Use responses.
Vemo AI: Transcribe voice into any kind of content. Speak naturally, don’t stress about pauses or mistakes.
WriteBot AI: Save hundreds of hours with AI-generated content on any topic for regular publishing.
Perci: AI writing tool for optimized, compliant Amazon listings. Built for AMZ best practices.
Wuko.ai: Request contextual summaries and customized insights for web pages through your email inbox.
Dory AI: AI-powered, distributed version control system for creative IP development. Create custom products with AI and stories.
📈 Thursday Trajectory
In the spotlight today: AI21 Labs
The Tel Aviv-based startup has secured $155 million Series C funding from investors including Google, Nvidia, and Samsung Next. The round is one of the latest huge raises in the AI space, and it values the startup at $1.4 billion.
AI21 competes with the likes of generative AI powerhouses OpenAI and Anthropic. The startup has its own proprietary LLMs that help power its developer platform for building custom text-based business applications and its multilingual reading and writing AI assistant.
AI21 will use the funding to grow its text-based generative AI services for enterprises.\
AI21 Labs’ solutions are developed on “some of the world’s largest and most sophisticated LLMs” and offer “more refined control” than many generative AI apps on the market, said Yoav Shoham, one of AI21 Labs’ co-CEOs.
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